Sensitive Information Detection on Cyber-Space. - Mingbao Lin; Xianming Lin; Yunhang Shen; Rongrong Ji (ICIG (3), 2017)

Supervised Online Hashing via Hadamard Codebook Learning. - Mingbao Lin; Rongrong Ji; Hong Liu 009; Yongjian Wu 001 (ACM Multimedia, 2018)

Dense Auto-Encoder Hashing for Robust Cross-Modality Retrieval. - Hong Liu 009; Mingbao Lin; Shengchuan Zhang; Yongjian Wu 001; Feiyue Huang; Rongrong Ji (ACM Multimedia, 2018)

Towards Optimal Discrete Online Hashing with Balanced Similarity. - Mingbao Lin; Rongrong Ji; Hong Liu 009; Xiaoshuai Sun; Yongjian Wu 001; Yunsheng Wu (AAAI, 2019)

Supervised Online Hashing via Similarity Distribution Learning. - Mingbao Lin; Rongrong Ji; Shen Chen; Feng Zheng; Xiaoshuai Sun; Baochang Zhang 001; Liujuan Cao; Guodong Guo; Feiyue Huang (CoRR, 2019)

Hadamard Codebook Based Deep Hashing. - Shen Chen; Liujuan Cao; Mingbao Lin; Yan Wang 059; Xiaoshuai Sun; Chenglin Wu; Jingfei Qiu; Rongrong Ji (CoRR, 2019)

HRank: Filter Pruning Using High-Rank Feature Map. - Mingbao Lin; Rongrong Ji; Yan Wang 059; Yichen Zhang 002; Baochang Zhang 001; Yonghong Tian 001; Ling Shao 001 (CVPR, 2020)

Channel Pruning via Automatic Structure Search. - Mingbao Lin; Rongrong Ji; Yuxin Zhang 002; Baochang Zhang 001; Yongjian Wu 001; Yonghong Tian 001 (IJCAI, 2020)

Rotated Binary Neural Network. - Mingbao Lin; Rongrong Ji; Zihan Xu; Baochang Zhang 001; Yan Wang 059; Yongjian Wu 001; Feiyue Huang; Chia-Wen Lin (NeurIPS, 2020)

Filter Sketch for Network Pruning. - Mingbao Lin; Rongrong Ji; Shaojie Li; Qixiang Ye; Yonghong Tian 001; Jianzhuang Liu; Qi Tian 001 (CoRR, 2020)

Learning Efficient GANs using Differentiable Masks and co-Attention Distillation. - Shaojie Li; Mingbao Lin; Yan Wang 059; Mingliang Xu 001; Feiyue Huang; Yongjian Wu 001; Ling Shao 001; Rongrong Ji (CoRR, 2020)

Hadamard Matrix Guided Online Hashing. - Mingbao Lin; Rongrong Ji; Hong Liu 009; Xiaoshuai Sun; Shen Chen; Qi Tian 001 (Int. J. Comput. Vis., 2020)

Similarity-Preserving Linkage Hashing for Online Image Retrieval. - Mingbao Lin; Rongrong Ji; Shen Chen; Xiaoshuai Sun; Chia-Wen Lin (IEEE Trans. Image Process., 2020)

ReCU: Reviving the Dead Weights in Binary Neural Networks. - Zihan Xu; Mingbao Lin; Jianzhuang Liu; Jie Chen 001; Ling Shao 001; Yue Gao 002; Yonghong Tian 001; Rongrong Ji (ICCV, 2021)

Non-Parametric Adaptive Network Pruning. - Mingbao Lin; Rongrong Ji; Shaojie Li; Yan Wang 059; Yongjian Wu 001; Feiyue Huang; Qixiang Ye (CoRR, 2021)

SiMaN: Sign-to-Magnitude Network Binarization. - Mingbao Lin; Rongrong Ji; Zihan Xu; Baochang Zhang 001; Fei Chao 001; Mingliang Xu 001; Chia-Wen Lin; Ling Shao 001 (CoRR, 2021)

Distilling a Powerful Student Model via Online Knowledge Distillation. - Shaojie Li; Mingbao Lin; Yan Wang 059; Feiyue Huang; Yongjian Wu 001; Yonghong Tian 001; Ling Shao 001; Rongrong Ji (CoRR, 2021)

Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning. - Boyu Yang 002; Mingbao Lin; Binghao Liu; Mengying Fu; Chang Liu 042; Rongrong Ji; Qixiang Ye (CoRR, 2021)

Lottery Jackpots Exist in Pre-trained Models. - Yuxin Zhang 002; Mingbao Lin; Fei Chao 001; Yan Wang 059; Yongjian Wu 001; Feiyue Huang; Mingliang Xu 001; Yonghong Tian 001; Rongrong Ji (CoRR, 2021)

Carrying out CNN Channel Pruning in a White Box. - Yuxin Zhang 002; Mingbao Lin; Chia-Wen Lin; Jie Chen 001; Feiyue Huang; Yongjian Wu 001; Yonghong Tian 001; Rongrong Ji (CoRR, 2021)

1×N Block Pattern for Network Sparsity. - Mingbao Lin; Yuchao Li; Yuxin Zhang 002; Bohong Chen 001; Fei Chao 001; Mengdi Wang; Shen Li; Jun Yang; Rongrong Ji (CoRR, 2021)

Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion. - Mingbao Lin; Rongrong Ji; Bohong Chen 001; Fei Chao 001; Jianzhuang Liu; Wei Zeng 006; Yonghong Tian 001; Qi Tian 001 (CoRR, 2021)

Fine-grained Data Distribution Alignment for Post-Training Quantization. - Yunshan Zhong; Mingbao Lin; Mengzhao Chen; Ke Li 015; Yunhang Shen; Fei Chao 001; Yongjian Wu 001; Feiyue Huang; Rongrong Ji (CoRR, 2021)

Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. - Bohong Chen 001; Mingbao Lin; Liujuan Cao; Jianzhuang Liu; Qixiang Ye; Baochang Zhang 001; Wei Zeng 006; Yonghong Tian 001; Rongrong Ji (CoRR, 2021)

IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. - Yunshan Zhong; Mingbao Lin; Gongrui Nan; Jianzhuang Liu; Baochang Zhang 001; Yonghong Tian 001; Rongrong Ji (CVPR, 2022)

ARM: Any-Time Super-Resolution Method. - Bohong Chen 001; Mingbao Lin; Kekai Sheng; Mengdan Zhang; Peixian Chen; Ke Li 015; Liujuan Cao; Rongrong Ji (ECCV (19), 2022)

Knowledge Condensation Distillation. - Chenxin Li; Mingbao Lin; Zhiyuan Ding; Nie Lin; Yihong Zhuang; Yue Huang 001; Xinghao Ding; Liujuan Cao (ECCV (11), 2022)

Fine-grained Data Distribution Alignment for Post-Training Quantization. - Yunshan Zhong; Mingbao Lin; Mengzhao Chen; Ke Li 015; Yunhang Shen; Fei Chao 001; Yongjian Wu 001; Rongrong Ji (ECCV (11), 2022)

Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. - Yunshan Zhong; Mingbao Lin; Xunchao Li; Ke Li 015; Yunhang Shen; Fei Chao 001; Yongjian Wu 001; Rongrong Ji (ECCV (18), 2022)

SeqTR: A Simple Yet Universal Network for Visual Grounding. - Chaoyang Zhu; Yiyi Zhou; Yunhang Shen; Gen Luo; Xingjia Pan; Mingbao Lin; Chao Chen 026; Liujuan Cao; Xiaoshuai Sun; Rongrong Ji (ECCV (35), 2022)

Learning Best Combination for Efficient N: M Sparsity. - Yuxin Zhang 002; Mingbao Lin; Zhihang Lin; Yiting Luo; Ke Li 015; Fei Chao 001; Yongjian Wu 001; Rongrong Ji (NeurIPS, 2022)

Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need. - Yuxin Zhang 002; Mingbao Lin; Mengzhao Chen; Zihan Xu; Fei Chao 001; Yunhang Shen; Ke Li 015; Yongjian Wu 001; Rongrong Ji (CoRR, 2022)

Coarse-to-Fine Vision Transformer. - Mengzhao Chen; Mingbao Lin; Ke Li 015; Yunhang Shen; Yongjian Wu 001; Fei Chao 001; Rongrong Ji (CoRR, 2022)

End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. - Mingrui Wu; Jiaxin Gu; Yunhang Shen; Mingbao Lin; Chao Chen 026; Xiaoshuai Sun; Rongrong Ji (CoRR, 2022)

Shadow-Aware Dynamic Convolution for Shadow Removal. - Yimin Xu; Mingbao Lin; Hong Yang; Ke Li 015; Yunhang Shen; Fei Chao 001; Rongrong Ji (CoRR, 2022)

Super Vision Transformer. - Mingbao Lin; Mengzhao Chen; Yuxin Zhang 002; Ke Li 015; Yunhang Shen; Chunhua Shen; Rongrong Ji (CoRR, 2022)

LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal. - Hong Yang; Gongrui Nan; Mingbao Lin; Fei Chao 001; Yunhang Shen; Ke Li 015; Rongrong Ji (CoRR, 2022)

Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training. - Yunshan Zhong; Mingbao Lin; Yuxin Zhang 002; Gongrui Nan; Fei Chao 001; Rongrong Ji (CoRR, 2022)

Shadow Removal by High-Quality Shadow Synthesis. - Yunshan Zhong; Mingbao Lin; Lizhou You; Yuxin Zhang 002; Luoqi Liu; Rongrong Ji (CoRR, 2022)

Exploring Content Relationships for Distilling Efficient GANs. - Lizhou You; Mingbao Lin; Tie Hu; Fei Chao 001; Rongrong Ji (CoRR, 2022)

Fast Class-Wise Updating for Online Hashing. - Mingbao Lin; Rongrong Ji; Xiaoshuai Sun; Baochang Zhang 001; Feiyue Huang; Yonghong Tian 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Filter Sketch for Network Pruning. - Mingbao Lin; Liujuan Cao; Shaojie Li; Qixiang Ye; Yonghong Tian 001; Jianzhuang Liu; Qi Tian 001; Rongrong Ji (IEEE Trans. Neural Networks Learn. Syst., 2022)

Network Pruning Using Adaptive Exemplar Filters. - Mingbao Lin; Rongrong Ji; Shaojie Li; Yan Wang 059; Yongjian Wu 001; Feiyue Huang; Qixiang Ye (IEEE Trans. Neural Networks Learn. Syst., 2022)

CF-ViT: A General Coarse-to-Fine Method for Vision Transformer. - Mengzhao Chen; Mingbao Lin; Ke Li 015; Yunhang Shen; Yongjian Wu 001; Fei Chao 001; Rongrong Ji (AAAI, 2023)

End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. - Mingrui Wu; Jiaxin Gu; Yunhang Shen; Mingbao Lin; Chao Chen 026; Xiaoshuai Sun (AAAI, 2023)

Resilient Binary Neural Network. - Sheng Xu 007; Yanjing Li; Teli Ma; Mingbao Lin; Hao Dong 003; Baochang Zhang 001; Peng Gao 007; Jinhu Lu (AAAI, 2023)

Discriminator-Cooperated Feature Map Distillation for GAN Compression. - Tie Hu; Mingbao Lin; Lizhou You; Fei Chao 001; Rongrong Ji (CVPR, 2023)

Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. - Sheng Xu 007; Yanjing Li; Mingbao Lin; Peng Gao 007; Guodong Guo; Jinhu Lü; Baochang Zhang 001 (CVPR, 2023)

SMMix: Self-Motivated Image Mixing for Vision Transformers. - Mengzhao Chen; Mingbao Lin; Zhihang Lin; Yuxin Zhang 002; Fei Chao 001; Rongrong Ji (ICCV, 2023)

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. - Mengzhao Chen; Wenqi Shao; Peng Xu; Mingbao Lin; Kaipeng Zhang; Fei Chao 001; Rongrong Ji; Yu Qiao 001; Ping Luo 002 (ICCV, 2023)

Representation Disparity-aware Distillation for 3D Object Detection. - Yanjing Li; Sheng Xu 007; Mingbao Lin; Jihao Yin; Baochang Zhang 001; Xianbin Cao 001 (ICCV, 2023)

Real-Time Image Demoiréing on Mobile Devices. - Yuxin Zhang 002; Mingbao Lin; Xunchao Li; Han Liu; Guozhi Wang; Fei Chao 001; Shuai Ren; Yafei Wen; Xiaoxin Chen 001; Rongrong Ji (ICLR, 2023)

Bi-directional Masks for Efficient N: M Sparse Training. - Yuxin Zhang 002; Yiting Luo; Mingbao Lin; Yunshan Zhong; Jingjing Xie; Fei Chao 001; Rongrong Ji (ICML, 2023)

Low-Rank Winograd Transformation for 3D Convolutional Neural Networks. - Ziran Qin; Mingbao Lin; Weiyao Lin (CoRR, 2023)

MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization. - Yunshan Zhong; Mingbao Lin; Yuyao Zhou; Mengzhao Chen; Yuxin Zhang 002; Fei Chao 001; Rongrong Ji (CoRR, 2023)

Spatial Re-parameterization for N: M Sparsity. - Yuxin Zhang 002; Mingbao Lin; Yunshan Zhong; Mengzhao Chen; Fei Chao 001; Rongrong Ji (CoRR, 2023)

MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation. - Junru Lu; Siyu An; Mingbao Lin; Gabriele Pergola; Yulan He 001; Di Yin; Xing Sun 001; Yunsheng Wu (CoRR, 2023)

Unified and Dynamic Graph for Temporal Character Grouping in Long Videos. - Xiujun Shu; Wei Wen; Liangsheng Xu; Mingbao Lin; Ruizhi Qiao; Taian Guo; Hanjun Li 002; Bei Gan; Xiao Wang; Xing Sun 001 (CoRR, 2023)

I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization. - Yunshan Zhong; Jiawei Hu; Mingbao Lin; Mengzhao Chen; Rongrong Ji (CoRR, 2023)

Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study. - Lirui Zhao; Yuxin Zhang 002; Mingbao Lin; Fei Chao 001; Rongrong Ji (CoRR, 2023)

Learning Efficient GANs for Image Translation via Differentiable Masks and Co-Attention Distillation. - Shaojie Li; Mingbao Lin; Yan Wang 059; Fei Chao 001; Ling Shao 001; Rongrong Ji (IEEE Trans. Multim., 2023)

Dynamic Support Network for Few-Shot Class Incremental Learning. - Boyu Yang 002; Mingbao Lin; Yunxiao Zhang; Binghao Liu; Xiaodan Liang; Rongrong Ji; Qixiang Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

1xN Pattern for Pruning Convolutional Neural Networks. - Mingbao Lin; Yuxin Zhang 002; Yuchao Li; Bohong Chen 001; Fei Chao 001; Mengdi Wang; Shen Li; Yonghong Tian 001; Rongrong Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SiMaN: Sign-to-Magnitude Network Binarization. - Mingbao Lin; Rongrong Ji; Zihan Xu; Baochang Zhang 001; Fei Chao 001; Chia-Wen Lin; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Training Compact CNNs for Image Classification Using Dynamic-Coded Filter Fusion. - Mingbao Lin; Bohong Chen 001; Fei Chao 001; Rongrong Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. - Bohong Chen 001; Mingbao Lin; Rongrong Ji; Liujuan Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Carrying Out CNN Channel Pruning in a White Box. - Yuxin Zhang 002; Mingbao Lin; Chia-Wen Lin; Jie Chen 001; Yongjian Wu 001; Yonghong Tian 001; Rongrong Ji (IEEE Trans. Neural Networks Learn. Syst., 2023)

Distilling a Powerful Student Model via Online Knowledge Distillation. - Shaojie Li; Mingbao Lin; Yan Wang 059; Yongjian Wu 001; Yonghong Tian 001; Ling Shao 001; Rongrong Ji (IEEE Trans. Neural Networks Learn. Syst., 2023)

Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters. - Mingbao Lin; Liujuan Cao; Yuxin Zhang 002; Ling Shao 001; Chia-Wen Lin; Rongrong Ji (IEEE Trans. Neural Networks Learn. Syst., 2023)

Super Vision Transformer. - Mingbao Lin; Mengzhao Chen; Yuxin Zhang 002; Chunhua Shen; Rongrong Ji; Liujuan Cao (Int. J. Comput. Vis., 2023)

Lottery Jackpots Exist in Pre-Trained Models. - Yuxin Zhang 002; Mingbao Lin; Yunshan Zhong; Fei Chao 001; Rongrong Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Bi-ViT: Pushing the Limit of Vision Transformer Quantization. - Yanjing Li; Sheng Xu 007; Mingbao Lin; Xianbin Cao 001; Chuanjian Liu; Xiao Sun; Baochang Zhang 001 (AAAI, 2024)

UniPTS: A Unified Framework for Proficient Post-Training Sparsity. - Jingjing Xie; Yuxin Zhang 002; Mingbao Lin; Zhihang Lin; Liujuan Cao; Rongrong Ji (CVPR, 2024)

AccDiffusion: An Accurate Method for Higher-Resolution Image Generation. - Zhihang Lin; Mingbao Lin; Meng Zhao; Rongrong Ji (ECCV (6), 2024)

LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. - Jiahao Ying; Mingbao Lin; Yixin Cao 002; Wei Tang 015; Bo Wang; Qianru Sun; Xuanjing Huang 001; Shuicheng Yan (EMNLP (Findings), 2024)

Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs. - Yuxin Zhang 002; Lirui Zhao; Mingbao Lin; Yunyun Sun; Yiwu Yao; Xingjia Han; Jared Tanner; Shiwei Liu 003; Rongrong Ji (ICLR, 2024)

Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement. - Sheng Xu 007; Mingze Wang; Yanjing Li; Mingbao Lin; Baochang Zhang 001; David S. Doermann; Xiao Sun (ICML, 2024)

Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation. - Jingjing Xie; Yuxin Zhang 002; Mingbao Lin; Liujuan Cao; Rongrong Ji (ACM Multimedia, 2024)

CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method. - Mingbao Lin; Zhihang Lin; Wengyi Zhan; Liujuan Cao; Rongrong Ji (CoRR, 2024)

ObjectAdd: Adding Objects into Image via a Training-Free Diffusion Modification Fashion. - Ziyue Zhang; Mingbao Lin; Rongrong Ji (CoRR, 2024)

LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. - Jiahao Ying; Mingbao Lin; Yixin Cao 006; Wei Tang 015; Bo Wang; Qianru Sun; Xuanjing Huang 001; Shuicheng Yan (CoRR, 2024)

Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing. - Pengfei Jiang; Mingbao Lin; Fei Chao 001; Rongrong Ji (CoRR, 2024)

EasyInv: Toward Fast and Better DDIM Inversion. - Ziyue Zhang; Mingbao Lin; Shuicheng Yan; Rongrong Ji (CoRR, 2024)

UniVST: A Unified Framework for Training-free Localized Video Style Transfer. - Quanjian Song; Mingbao Lin; Wengyi Zhan; Shuicheng Yan; Liujuan Cao (CoRR, 2024)

TextDestroyer: A Training- and Annotation-Free Diffusion Method for Destroying Anomal Text from Images. - Mengcheng Li; Mingbao Lin; Fei Chao 001; Chia-Wen Lin; Rongrong Ji (CoRR, 2024)

AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion Extrapolation. - Zhihang Lin; Mingbao Lin; Wengyi Zhan; Rongrong Ji (CoRR, 2024)

DiffusionTrend: A Minimalist Approach to Virtual Fashion Try-On. - Wengyi Zhan; Mingbao Lin; Shuicheng Yan; Rongrong Ji (CoRR, 2024)

Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration. - Hai Ye; Mingbao Lin; Hwee Tou Ng; Shuicheng Yan (CoRR, 2024)

AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource. - Wengyi Zhan; Mingbao Lin; Chia-Wen Lin; Rongrong Ji (IEEE Trans. Image Process., 2024)

Shadow-aware dynamic convolution for shadow removal. - Yimin Xu; Mingbao Lin; Hong Yang; Fei Chao 001; Rongrong Ji (Pattern Recognit., 2024)

Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing. - Pengfei Jiang; Mingbao Lin; Fei Chao 001 (AAAI, 2025)

Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference. - Zhihang Lin; Mingbao Lin; Luxi Lin; Rongrong Ji (AAAI, 2025)

CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences. - Ziran Qin; Yuchen Cao; Mingbao Lin; Wen Hu; Shixuan Fan; Ke Cheng; Weiyao Lin; Jianguo Li (ICLR, 2025)

Low-rank Winograd transformation for 3D convolutional neural networks. - Ziran Qin; Mingbao Lin; Huabin Liu 001; John See; Gui Zou; Weiyao Lin (Sci. China Inf. Sci., 2025)

Distribution-flexible subset quantization for post-quantizing super-resolution networks. - Yunshan Zhong; Mingbao Lin; Jingjing Xie; Yuxin Zhang 002; Fei Chao 001; Rongrong Ji (Sci. China Inf. Sci., 2025)

Seeing World Dynamics in a Nutshell. - Qiuhong Shen; Xuanyu Yi; Mingbao Lin; Hanwang Zhang; Shuicheng Yan; Xinchao Wang (CoRR, 2025)

Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models. - Zhifei Xie; Mingbao Lin; Zihang Liu; Pengcheng Wu; Shuicheng Yan; Chunyan Miao (CoRR, 2025)

WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes. - Ling Yang 006; Kaixin Zhu; Juanxi Tian; Bohan Zeng; Mingbao Lin; Hongjuan Pei; Wentao Zhang 001; Shuicheng Yan (CoRR, 2025)

CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models. - Zhihang Lin; Mingbao Lin; Yuan Xie; Rongrong Ji (CoRR, 2025)

Head-Aware KV Cache Compression for Efficient Visual Autoregressive Modeling. - Ziran Qin; Youru Lv; Mingbao Lin; Zeren Zhang; Danping Zou; Weiyao Lin (CoRR, 2025)

SynergyAmodal: Deocclude Anything with Text Control. - Xinyang Li; Chengjie Yi; Jiawei Lai; Mingbao Lin; Yansong Qu; Shengchuan Zhang; Liujuan Cao (CoRR, 2025)

Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method. - Qingcheng Zhu; Yangyang Ren; Linlin Yang; Mingbao Lin; Yanjing Li; Sheng Xu 007; Zichao Feng; Haodong Zhu; Yuguang Yang 007; Juan Zhang; Runqi Wang; Baochang Zhang 001 (CoRR, 2025)

Spatial Re-Parameterization for N:M Sparsity. - Yuxin Zhang 002; Mingbao Lin; Mingliang Xu 001; Yonghong Tian 001; Rongrong Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2025)